• Mashihur Rahaman

Rainfall is Prediction is three urban areas in the states of Uttar Pradesh and Rajasthan, India. predicted of rainfall and ground water of particular area will help water resource managers to verdict the utility of water and storage of water. The multi artificial neural network layer with learning by propagation algorithm (back) configuration is the most common in use, due to of its ease in training. The back-propagation-feed forward neural network can be used in many applications such as character recognition, weather and financial prediction, face detection etc. In back-propagation algorithm, there are two phases in its learning cycle, one to propagate the input patterns through the network and other to adapt the output by changing the weights in the network. Our approach comprised with data prediction and data visualization based on mining process. For obtaining ANN based prediction with APRIORI-NN based visualization approach were considered to extend and help water resource managers. It is estimated that over 90% of all the neural network projects in development use back-propagation.

Rainfall, Prediction, NARX neural network, feed forward, back propagation.

"Rainfall Prediction in Urban Areas with latest available machine learning approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.791-796, February-2018, Available :http://www.jetir.org/papers/JETIR1802134.pdf

"Rainfall Prediction in Urban Areas with latest available machine learning approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp791-796, February-2018, Available at : http://www.jetir.org/papers/JETIR1802134.pdf